The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-10-19"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "40395527 (up from 39955637 yesterday: 1.1 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1118159 (up from 1113178 yesterday: 0.45 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 7035206

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.77



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 8212981 58387 0.72 1064936 220119 445 0.20 2.68
India 7597063 46790 0.62 1451772 115197 587 0.51 1.52
Brazil 5250727 26365 0.50 505263 154176 501 0.33 2.94
Russia 1406667 15843 1.14 252368 24205 166 0.69 1.72
Argentina 1002662 12982 1.31 279530 26716 449 1.71 2.66
Spain 974449 37889 4.05 226183 33992 217 0.64 3.49
Colombia 965883 6311 0.66 147680 29102 132 0.46 3.01
France 952600 76258 8.70 374620 33647 322 0.97 3.53
Peru 868675 3126 0.36 63373 33759 57 0.17 3.89
Mexico 854926 3699 0.43 121209 86338 171 0.20 10.10
United Kingdom 744122 18830 2.60 302549 43816 80 0.18 5.89
South Africa 705254 1461 0.21 33585 18492 21 0.11 2.62
Iran 534631 4251 0.80 84671 30712 337 1.11 5.74
Chile 493305 1545 0.31 33634 13676 41 0.30 2.77
Iraq 430678 4044 0.95 77112 10317 63 0.61 2.40
Italy 423578 9337 2.25 112214 36616 73 0.20 8.64
Bangladesh 390206 1637 0.42 29651 5681 21 0.37 1.46
Germany 377068 8397 2.28 88437 9842 44 0.45 2.61
Indonesia 365240 3373 0.93 86518 12617 106 0.85 3.45
Philippines 359169 2551 0.72 51881 6675 23 0.35 1.86
Turkey 349519 2026 0.58 33674 9371 75 0.81 2.68
Saudi Arabia 342583 381 0.11 8935 5201 16 0.31 1.52
Pakistan 324034 582 0.18 12518 6673 14 0.21 2.06
Ukraine 312287 4986 1.62 105708 5834 72 1.25 1.87
Israel 304876 1767 0.58 71611 2263 54 2.44 0.74
Netherlands 242217 8014 3.42 122708 6828 17 0.25 2.82
Belgium 230480 8227 3.70 115127 10443 30 0.29 4.53
Canada 204111 3307 1.65 46892 9832 16 0.16 4.82
Poland 183248 7482 4.26 94612 3614 41 1.15 1.97
Romania 182854 2466 1.37 58910 5931 59 1.00 3.24
Czechia 181962 8077 4.65 116079 1513 91 6.40 0.83
Morocco 175749 2117 1.22 56642 2976 48 1.64 1.69
Ecuador 153423 134 0.09 18458 12395 8 0.06 8.08
Bolivia 139890 119 0.09 5667 8502 21 0.25 6.08
Nepal 136036 3790 2.87 61291 757 18 2.44 0.56
Qatar 129671 240 0.19 4360 224 0 0.00 0.17
Panama 125181 436 0.35 13904 2574 10 0.39 2.06
Dominican Republic 121667 320 0.26 10001 2203 4 0.18 1.81
Kuwait 116832 686 0.59 12851 710 9 1.28 0.61
United Arab Emirates 116517 915 0.79 24422 466 3 0.65 0.40
Oman 110594 641 0.58 12537 1114 13 1.18 1.01
Kazakhstan 109623 115 0.11 1790 1768 0 0.00 1.61
Egypt 105547 123 0.12 2592 6130 10 0.16 5.81
Sweden 103200 0 0.00 12277 5918 0 0.00 5.73
Portugal 101860 1949 1.95 27831 2198 17 0.78 2.16
Guatemala 101599 239 0.24 11336 3541 11 0.31 3.49
Costa Rica 97075 1561 1.63 23361 1204 21 1.78 1.24
Japan 93408 310 0.33 10924 1676 4 0.24 1.79
China 91006 34 0.04 501 4739 0 0.00 5.21
Ethiopia 89860 723 0.81 15916 1365 13 0.96 1.52
Honduras 89381 956 1.08 13844 2576 8 0.31 2.88
Belarus 88290 592 0.68 10344 933 4 0.43 1.06
Venezuela 86636 0 0.00 13108 736 0 0.00 0.85
Switzerland 83159 8737 11.74 30513 2138 15 0.71 2.57
Bahrain 78224 322 0.41 8376 302 2 0.67 0.39
Moldova 67302 252 0.38 16108 1600 16 1.01 2.38
Austria 65927 1121 1.73 22495 904 11 1.23 1.37
Armenia 65460 766 1.18 15886 1091 10 0.93 1.67
Uzbekistan 63523 399 0.63 7747 531 6 1.14 0.84
Lebanon 62944 658 1.06 25672 526 6 1.15 0.84
Nigeria 61558 118 0.19 3098 1125 0 0.00 1.83
Singapore 57915 4 0.01 200 28 0 0.00 0.05
Paraguay 55452 728 1.33 16020 1207 19 1.60 2.18
Algeria 54616 214 0.39 3403 1865 9 0.48 3.41
Kyrgyzstan 52526 482 0.93 6171 1111 0 0.00 2.12
Ireland 50993 1031 2.06 15616 1852 0 0.00 3.63
Libya 49949 1159 2.38 16736 732 7 0.97 1.47
Hungary 47768 1478 3.19 23052 1173 31 2.71 2.46
West Bank and Gaza 47616 481 1.02 8495 413 5 1.23 0.87
Ghana 47372 62 0.13 928 310 0 0.00 0.65
Azerbaijan 45295 331 0.74 5234 630 4 0.64 1.39
Kenya 45076 195 0.43 6908 839 7 0.84 1.86
Tunisia 42727 2185 5.39 26613 687 61 9.74 1.61
Afghanistan 40287 87 0.22 1054 1497 5 0.34 3.72
Jordan 38937 1364 3.63 29711 380 35 10.14 0.98
Burma 37205 1180 3.28 25574 914 34 3.86 2.46
Denmark 36345 452 1.26 8799 686 6 0.88 1.89
Serbia 36282 122 0.34 2868 778 2 0.26 2.14
Bosnia and Herzegovina 34661 549 1.61 7660 997 13 1.32 2.88
El Salvador 31666 0 0.00 2857 926 4 0.43 2.92
Slovakia 30695 860 2.88 21352 92 4 4.55 0.30
Bulgaria 30527 1024 3.47 10256 1008 22 2.23 3.30
Australia 27405 6 0.02 350 905 0 0.00 3.30
Croatia 25973 393 1.54 9728 374 11 3.03 1.44
Greece 25802 432 1.70 8095 520 11 2.16 2.02
Korea, South 25333 58 0.23 1634 447 3 0.68 1.76
North Macedonia 23788 160 0.68 6114 846 12 1.44 3.56
Cameroon 21506 65 0.30 668 424 1 0.24 1.97
Malaysia 21363 865 4.22 10329 190 3 1.60 0.89
Cote d’Ivoire 20324 1 0.00 683 121 0 0.00 0.60
Georgia 18663 1186 6.79 13111 143 7 5.15 0.77
Albania 17350 295 1.73 3959 454 3 0.67 2.62
Kosovo 17009 118 0.70 1489 656 3 0.46 3.86
Madagascar 16810 0 0.00 462 238 0 0.00 1.42
Norway 16603 146 0.89 2815 278 0 0.00 1.67
Zambia 15897 44 0.28 1237 346 0 0.00 2.18
Montenegro 15760 145 0.93 5319 240 4 1.69 1.52
Senegal 15432 14 0.09 513 319 2 0.63 2.07
Sudan 13724 27 0.20 118 836 0 0.00 6.09
Slovenia 13679 537 4.09 8291 190 2 1.06 1.39
Finland 13555 131 0.98 3812 351 0 0.00 2.59
Namibia 12326 33 0.27 1205 131 0 0.00 1.06
Guinea 11518 0 0.00 920 70 0 0.00 0.61
Maldives 11232 22 0.20 1075 37 0 0.00 0.33
Mozambique 11080 214 1.97 2792 75 0 0.00 0.68
Congo (Kinshasa) 11052 46 0.42 428 303 1 0.33 2.74
Luxembourg 11010 122 1.12 2634 135 2 1.50 1.23
Uganda 10691 101 0.95 2914 97 0 0.00 0.91
Tajikistan 10533 40 0.38 848 80 0 0.00 0.76

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 879645 3953 0.45 66934 16982 3 0.02 1.93 22262.60 429.79 1 in 45
Texas 856948 2942 0.34 95750 17481 16 0.09 2.04 29554.13 602.88 1 in 34
Florida 756727 1707 0.23 55425 16021 54 0.34 2.12 35233.09 745.94 1 in 28
New York 485279 998 0.21 28819 33366 9 0.03 6.88 24945.51 1715.16 1 in 40
Illinois 350744 3113 0.90 58662 9496 22 0.23 2.71 27679.05 749.38 1 in 36
Georgia 341310 752 0.22 26029 7657 19 0.25 2.24 32146.22 721.17 1 in 31
North Carolina 247172 1144 0.46 38946 3939 5 0.13 1.59 23566.94 375.57 1 in 42
Tennessee 232061 3317 1.45 38329 2922 13 0.45 1.26 33960.94 427.62 1 in 29
Arizona 231897 748 0.32 14387 5830 3 0.05 2.51 30453.09 765.60 1 in 33
New Jersey 221205 1558 0.71 17098 16214 3 0.02 7.33 24904.33 1825.45 1 in 40
Pennsylvania 188381 1627 0.87 26787 8475 10 0.12 4.50 14714.98 662.01 1 in 68
Ohio 183624 1837 1.01 31822 5075 8 0.16 2.76 15708.99 434.17 1 in 64
Louisiana 175982 201 0.11 10891 5766 16 0.28 3.28 37855.41 1240.32 1 in 26
Wisconsin 173891 7705 4.64 56303 1600 26 1.65 0.92 29865.69 274.80 1 in 33
Alabama 173485 859 0.50 20502 2789 1 0.04 1.61 35382.10 568.81 1 in 28
Virginia 166360 684 0.41 19916 3454 24 0.70 2.08 19490.32 404.66 1 in 51
South Carolina 164609 619 0.38 18154 3661 11 0.30 2.22 31970.90 711.05 1 in 31
Michigan 164123 3018 1.87 28421 7363 23 0.31 4.49 16433.90 737.27 1 in 61
Missouri 160437 1482 0.93 34172 2600 8 0.31 1.62 26140.75 423.63 1 in 38
Indiana 149166 1584 1.07 30844 3960 23 0.58 2.65 22157.03 588.22 1 in 45
Massachusetts 144488 828 0.58 13416 9753 16 0.16 6.75 20791.13 1403.41 1 in 48
Maryland 136154 497 0.37 12274 4041 4 0.10 2.97 22520.87 668.41 1 in 44
Minnesota 124439 1627 1.32 26801 2292 5 0.22 1.84 22065.09 406.41 1 in 45
Mississippi 110592 586 0.53 13543 3171 0 0.00 2.87 37159.43 1065.47 1 in 27
Oklahoma 108073 774 0.72 22879 1173 2 0.17 1.09 27312.05 296.44 1 in 37
Iowa 108060 726 0.68 20803 1548 16 1.04 1.43 34249.64 490.64 1 in 29
Arkansas 99597 531 0.54 17548 1714 10 0.59 1.72 33002.91 567.96 1 in 30
Washington 98661 460 0.47 12023 2258 19 0.85 2.29 12956.32 296.52 1 in 77
Utah 95562 1168 1.24 24120 546 3 0.55 0.57 29807.63 170.31 1 in 34
Nevada 90843 582 0.64 11652 1712 2 0.12 1.88 29492.99 555.82 1 in 34
Kentucky 88247 640 0.73 21308 1326 8 0.61 1.50 19752.34 296.80 1 in 51
Colorado 86351 1072 1.26 16882 2180 4 0.18 2.52 14994.78 378.56 1 in 67
Kansas 71557 1289 1.83 13594 870 11 1.28 1.22 24562.06 298.63 1 in 41
Connecticut 64021 1191 1.90 6874 4554 12 0.26 7.11 17956.76 1277.32 1 in 56
Nebraska 58817 749 1.29 14239 554 6 1.09 0.94 30405.68 286.39 1 in 33
Puerto Rico 57950 657 1.15 10528 768 2 0.26 1.33 18145.13 240.47 1 in 55
Idaho 53790 698 1.31 12867 531 3 0.57 0.99 30015.65 296.31 1 in 33
Oregon 39794 262 0.66 6800 627 7 1.13 1.58 9434.92 148.66 1 in 106
New Mexico 37302 514 1.40 8317 935 1 0.11 2.51 17789.72 445.91 1 in 56
South Dakota 33836 567 1.70 12098 323 0 0.00 0.95 38247.51 365.11 1 in 26
North Dakota 32637 659 2.06 11654 408 4 0.99 1.25 42827.22 535.39 1 in 23
Rhode Island 28347 656 2.37 3923 1159 7 0.61 4.09 26758.58 1094.06 1 in 37
Montana 23390 569 2.49 10977 241 0 0.00 1.03 21884.81 225.49 1 in 46
Delaware 23196 103 0.45 2807 666 1 0.15 2.87 23820.97 683.94 1 in 42
West Virginia 20293 212 1.06 4777 402 0 0.00 1.98 11354.97 224.94 1 in 88
District of Columbia 16395 25 0.15 1131 641 0 0.00 3.91 23230.64 908.25 1 in 43
Hawaii 14068 37 0.26 1865 187 0 0.00 1.33 9935.93 132.07 1 in 101
Alaska 11182 202 1.84 3585 67 0 0.00 0.60 15285.46 91.59 1 in 65
New Hampshire 9746 121 1.26 1538 468 2 0.43 4.80 7167.70 344.19 1 in 140
Wyoming 9311 286 3.17 3557 57 0 0.00 0.61 16087.87 98.49 1 in 62
Maine 5961 24 0.40 661 146 0 0.00 2.45 4434.57 108.61 1 in 226
Vermont 1946 9 0.46 201 58 0 0.00 2.98 3118.64 92.95 1 in 321

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 17042408 879645 5.16 2557556 66934 2.62 431319.9
2 Texas 7384043 856948 11.61 1212288 95750 7.90 254658.3
3 Florida 5739283 756727 13.19 477611 55425 11.60 267220.1
4 New York 12982175 485279 3.74 2421053 28819 1.19 667341.8
5 Illinois 6827824 350744 5.14 1304683 58662 4.50 538819.5
6 Georgia 3314279 341310 10.30 415781 26029 6.26 312154.8
7 North Carolina 3648364 247172 6.77 643831 38946 6.05 347858.0
8 Tennessee 3383392 232061 6.86 536050 38329 7.15 495142.1
9 Arizona 1639785 231897 14.14 191073 14387 7.53 215339.2
10 New Jersey 4217705 221205 5.24 651401 17098 2.62 474849.7
11 Pennsylvania 2327281 188381 8.09 314964 26787 8.50 181790.6
12 Ohio 3941567 183624 4.66 835391 31822 3.81 337200.2
13 Louisiana 2597464 175982 6.78 307846 10891 3.54 558739.3
14 Wisconsin 1886955 173891 9.22 357361 56303 15.76 324083.5
15 Alabama 1260100 173485 13.77 143754 20502 14.26 256996.2
16 Virginia 2398111 166360 6.94 370943 19916 5.37 280956.7
17 South Carolina 1610200 164609 10.22 336272 18154 5.40 312738.3
18 Michigan 4335624 164123 3.79 741634 28421 3.83 434133.0
19 Missouri 2296674 160437 6.99 993716 34172 3.44 374207.9
20 Indiana 2533863 149166 5.89 1167569 30844 2.64 376378.6
21 Massachusetts 5239651 144488 2.76 1308432 13416 1.03 753960.5
22 Maryland 3103833 136154 4.39 1500734 12274 0.82 513396.8
23 Minnesota 2511395 124439 4.95 508280 26801 5.27 445311.9
24 Mississippi 840136 110592 13.16 104244 13543 12.99 282289.6
25 Oklahoma 1435605 108073 7.53 274936 22879 8.32 362804.0
26 Iowa 835573 108060 12.93 80257 20803 25.92 264835.0
27 Arkansas 1223914 99597 8.14 226216 17548 7.76 405561.6
28 Washington 2230785 98661 4.42 393579 12023 3.05 292950.3
29 Utah 980659 95562 9.74 163198 24120 14.78 305886.4
30 Nevada 750947 90843 12.10 58274 11652 20.00 243801.6
31 Kentucky 1698815 88247 5.19 405675 21308 5.25 380246.0
32 Colorado 1689313 86351 5.11 375910 16882 4.49 293347.9
33 Kansas 598394 71557 11.96 84485 13594 16.09 205399.8
34 Connecticut 2039597 64021 3.14 468391 6874 1.47 572070.9
35 Nebraska 543213 58817 10.83 94852 14239 15.01 280816.2
37 Idaho 353190 53790 15.23 49938 12867 25.77 197085.5
38 Oregon 788509 39794 5.05 113480 6800 5.99 186950.7
39 New Mexico 1054891 37302 3.54 149562 8317 5.56 503088.7
40 South Dakota 232450 33836 14.56 44106 12098 27.43 262756.6
41 North Dakota 741160 32637 4.40 137238 11654 8.49 972571.8
42 Rhode Island 977911 28347 2.90 224755 3923 1.75 923114.0
43 Montana 442366 23390 5.29 105170 10977 10.44 413898.9
44 Delaware 329018 23196 7.05 45203 2807 6.21 337882.7
45 West Virginia 687990 20293 2.95 134720 4777 3.55 384965.5
46 District of Columbia 469040 16395 3.50 85992 1131 1.32 664598.9
47 Hawaii 477316 14068 2.95 183754 1865 1.01 337118.0
48 Alaska 536223 11182 2.09 91432 3585 3.92 733000.7
49 New Hampshire 543562 9746 1.79 111166 1538 1.38 399762.9
50 Wyoming 118065 9311 7.89 17949 3557 19.82 203996.8
51 Maine 549477 5961 1.08 126081 661 0.52 408772.6
52 Vermont 179597 1946 1.08 17672 201 1.14 287820.8

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1609516 8151 0.51 1392308 86.50 174268 42453 213 0.50 2.64
Andhra Pradesh 789553 3503 0.45 749676 94.95 33396 6481 28 0.43 0.82
Karnataka 776901 6297 0.82 662329 85.25 103945 10608 66 0.63 1.37
Tamil Nadu 694030 3094 0.45 646555 93.16 36734 10741 47 0.44 1.55
Uttar Pradesh 459154 2289 0.50 422024 91.91 30416 6714 29 0.43 1.46
Kerala 353473 6591 1.90 260243 73.62 91924 1207 24 2.03 0.34
Delhi 336750 3579 1.07 306747 91.09 23922 6081 41 0.68 1.81
West Bengal 329057 4029 1.24 287707 87.43 35170 6180 61 1.00 1.88
Odisha 272250 1904 0.70 252197 92.63 18832 1221 16 1.33 0.45
Telangana 224545 1486 0.67 202577 90.22 20686 1282 7 0.55 0.57
Bihar 206961 1837 0.90 194889 94.17 11060 1011 8 0.80 0.49
Assam 202073 666 0.33 174411 86.31 26775 884 9 1.03 0.44
Rajasthan 177123 1897 1.08 155095 87.56 20254 1774 14 0.80 1.00
Chhattisgarh 165279 2507 1.54 137986 83.49 25709 1584 50 3.26 0.96
Madhya Pradesh 162178 975 0.60 146860 90.55 12507 2811 25 0.90 1.73
Gujarat 161848 1126 0.70 144027 88.99 14167 3654 8 0.22 2.26
Haryana 152174 940 0.62 140436 92.29 10078 1660 12 0.73 1.09
Punjab 128590 487 0.38 119658 93.05 4895 4037 8 0.20 3.14
Jharkhand 97414 572 0.59 90385 92.78 6180 849 7 0.83 0.87
Jammu and Kashmir 88958 589 0.67 79437 89.30 8124 1397 9 0.65 1.57
Uttarakhand 58601 241 0.41 51862 88.50 5364 946 13 1.39 1.61
Goa 41031 285 0.70 37275 90.85 3201 555 6 1.09 1.35
Puducherry 33452 205 0.62 28774 86.02 4101 577 2 0.35 1.72
Tripura 29685 135 0.46 26725 90.03 2609 328 0 0.00 1.10
Himachal Pradesh 19357 238 1.24 16454 85.00 2596 269 2 0.75 1.39
Manipur 16062 599 3.87 12059 75.08 3882 121 5 4.31 0.75
Arunachal Pradesh 13778 135 0.99 11035 80.09 2712 31 1 3.33 0.22
Chandigarh 13743 57 0.42 12724 92.59 810 209 1 0.48 1.52
Meghalaya 8649 113 1.32 6602 76.33 1971 76 1 1.33 0.88
Nagaland 8020 204 2.61 6268 78.15 1659 21 0 0.00 0.26
Ladakh 5695 48 0.85 4787 84.06 841 67 1 1.52 1.18
Andaman and Nicobar Islands 4141 15 0.36 3902 94.23 183 56 0 0.00 1.35
Sikkim 3643 42 1.17 3245 89.07 254 63 1 1.61 1.73
Dadra and Nagar Haveli and Daman and Diu 3194 11 0.35 3128 97.93 39 2 0 0.00 0.06
Mizoram 2280 27 1.20 2163 94.87 117 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 2516861 128456 1687 1.33 5.10 1136 113 24634 17084 13.30
Piemonte 868770 44923 933 2.12 5.17 883 61 10607 4203 9.36
Emilia-Romagna 1383324 41410 552 1.35 2.99 481 70 9670 4518 10.91
Veneto 2150361 36353 502 1.40 1.69 396 44 9845 2255 6.20
Campania 778882 27412 1593 6.17 3.52 884 85 18314 522 1.90
Lazio 1163907 25927 939 3.76 2.23 1130 111 15191 1033 3.98
Toscana 927802 23788 986 4.32 2.56 449 62 10851 1206 5.07
Liguria 378314 18438 323 1.78 4.87 436 34 3911 1641 8.90
Sicilia 598721 12654 362 2.95 2.11 521 72 7019 368 2.91
Puglia 491204 11706 321 2.82 2.38 397 38 5463 639 5.46
Marche 284664 9556 98 1.04 3.36 97 16 2118 995 10.41
P.A. Trento 262752 6924 79 1.15 2.64 44 0 863 418 6.04
Friuli Venezia Giulia 478383 6505 90 1.40 1.36 62 13 2168 364 5.60
Abruzzo 246937 6353 159 2.57 2.57 197 13 2669 494 7.78
Sardegna 231011 6255 159 2.61 2.71 210 33 3502 174 2.78
Umbria 254330 4909 167 3.52 1.93 131 15 2569 93 1.89
P.A. Bolzano 205014 4904 85 1.76 2.39 67 7 1690 294 6.00
Calabria 240223 2869 108 3.91 1.19 66 5 1170 104 3.62
Valle d’Aosta 33852 1946 135 7.45 5.75 26 4 658 146 7.50
Basilicata 89021 1296 22 1.73 1.46 51 1 698 39 3.01
Molise 55111 994 38 3.97 1.80 12 0 393 26 2.62

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 94429 1038 1.11 6044 6 0.10 6.40 11060.27 707.92 1 in 90
Ontario 67749 722 1.08 3103 2 0.06 4.58 4605.07 210.92 1 in 217
Alberta 22673 898 4.12 292 4 1.39 1.29 5137.60 66.17 1 in 195
British Columbia 11687 498 4.45 253 2 0.80 2.16 2286.67 49.50 1 in 437
Manitoba 3382 80 2.42 42 2 5.00 1.24 2455.14 30.49 1 in 407
Saskatchewan 2396 66 2.83 25 0 0.00 1.04 2027.65 21.16 1 in 493
Nova Scotia 1097 0 0.00 65 0 0.00 5.93 1122.30 66.50 1 in 891
New Brunswick 313 3 0.97 3 0 0.00 0.96 401.29 3.85 1 in 2492
Newfoundland and Labrador 287 0 0.00 4 0 0.00 1.39 550.48 7.67 1 in 1817
Prince Edward Island 63 0 0.00 0 0 NaN 0.00 398.34 0.00 1 in 2510
Yukon 17 2 13.33 0 0 NaN 0.00 413.85 0.00 1 in 2416
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 5256 105 2.00
Guangdong 1889 8 0.42
Zhejiang 1283 1 0.08
Henan 1281 22 1.72
Shanghai 1095 7 0.64
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 938 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shandong 845 7 0.83
Sichuan 728 3 0.41
Jiangsu 670 0 0.00
Chongqing 587 6 1.02
Shaanxi 438 3 0.68
Fujian 418 1 0.24
Hebei 368 6 1.63
Liaoning 280 2 0.71
Inner Mongolia 275 1 0.36
Guangxi 260 2 0.77
Tianjin 256 3 1.17
Yunnan 211 2 0.95
Shanxi 209 0 0.00
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 25100.80 672.74 1 in 40
India 5673.68 86.03 1 in 176
Brazil 25087.09 736.63 1 in 40
Russia 9734.72 167.51 1 in 103
Argentina 22648.79 603.48 1 in 44
Spain 20884.03 728.50 1 in 48
Colombia 19683.78 593.07 1 in 51
France 14220.03 502.27 1 in 70
Peru 27002.64 1049.39 1 in 37
Mexico 6617.07 668.25 1 in 151
United Kingdom 11199.91 659.48 1 in 89
South Africa 12433.96 326.02 1 in 80
Iran 6587.37 378.41 1 in 152
Chile 27329.92 757.67 1 in 37
Iraq 11253.67 269.58 1 in 89
Italy 7003.60 605.42 1 in 143
Bangladesh NA NA 1 in NA
Germany 4554.51 118.88 1 in 220
Indonesia 1383.48 47.79 1 in 723
Philippines 3423.92 63.63 1 in 292

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 289366 6877 2.38
Miami-Dade Florida 178726 3547 1.98
Cook Illinois 165198 5364 3.25
Harris Texas 154765 2729 1.76
Maricopa Arizona 150280 3512 2.34
Dallas Texas 90318 1194 1.32
Broward Florida 81277 1515 1.86
Clark Nevada 75410 1470 1.95
Queens New York 75236 7288 9.69
Kings New York 73263 7372 10.06
Riverside California 64075 1272 1.99
Bexar Texas 63426 1381 2.18
San Bernardino California 59779 1021 1.71
Tarrant Texas 59662 784 1.31
Orange California 57071 1410 2.47
Bronx New York 54472 4979 9.14
San Diego California 52735 853 1.62
Palm Beach Florida 49068 1497 3.05
Nassau New York 48657 2204 4.53
Suffolk New York 48080 2016 4.19
Hillsborough Florida 45538 751 1.65
Orange Florida 43621 534 1.22
Salt Lake Utah 41213 289 0.70
Philadelphia Pennsylvania 40803 1841 4.51
Westchester New York 39548 1460 3.69
Wayne Michigan 38435 3025 7.87
Milwaukee Wisconsin 35235 556 1.58
New York New York 35054 3192 9.11
Shelby Tennessee 34370 552 1.61
Hidalgo Texas 34179 1895 5.54
Kern California 33448 410 1.23
El Paso Texas 33326 575 1.73
Duval Florida 32951 511 1.55
Hennepin Minnesota 32336 965 2.98
Mecklenburg North Carolina 31820 376 1.18
Prince George’s Maryland 31497 846 2.69
Travis Texas 31053 446 1.44
Franklin Ohio 30777 635 2.06
Middlesex Massachusetts 30182 2226 7.38
Fresno California 30051 429 1.43
Fulton Georgia 29885 607 2.03
Davidson Tennessee 29801 325 1.09
Gwinnett Georgia 29748 434 1.46
St. Louis Missouri 28239 857 3.03
Pima Arizona 26955 634 2.35
Suffolk Massachusetts 26546 1160 4.37
Utah Utah 25534 73 0.29
King Washington 25219 794 3.15
Marion Indiana 24564 781 3.18
Montgomery Maryland 24466 860 3.52
Sacramento California 24425 468 1.92
Pinellas Florida 24169 801 3.31
Bergen New Jersey 23845 2051 8.60
Cameron Texas 23709 1066 4.50
Santa Clara California 23355 378 1.62
Oakland Michigan 23165 1227 5.30
Alameda California 22738 433 1.90
Fairfax Virginia 22687 602 2.65
Essex New Jersey 22625 2134 9.43
Jefferson Alabama 22400 372 1.66
Essex Massachusetts 22192 1330 5.99
Lee Florida 22023 494 2.24
Oklahoma Oklahoma 22008 216 0.98
Polk Florida 21837 589 2.70
Hudson New Jersey 21810 1523 6.98
Fairfield Connecticut 21674 1429 6.59
Cobb Georgia 21196 448 2.11
San Joaquin California 21187 484 2.28
Middlesex New Jersey 21043 1438 6.83
Nueces Texas 21005 437 2.08
DuPage Illinois 20947 598 2.85
Tulsa Oklahoma 20448 186 0.91
Providence Rhode Island 20439 909 4.45
Douglas Nebraska 20314 214 1.05
DeKalb Georgia 20306 390 1.92
Passaic New Jersey 20028 1258 6.28
Wake North Carolina 19888 261 1.31
Baltimore Maryland 19646 653 3.32
Lake Illinois 19546 503 2.57
Jefferson Kentucky 19528 329 1.68
Cuyahoga Ohio 19345 674 3.48
Union New Jersey 18815 1363 7.24
Jefferson Louisiana 18358 580 3.16
Contra Costa California 18157 234 1.29
Polk Iowa 17984 282 1.57
Stanislaus California 17341 392 2.26
Rockland New York 17207 680 3.95
Fort Bend Texas 17157 303 1.77
Tulare California 17120 275 1.61
Macomb Michigan 17076 1065 6.24
Collin Texas 16937 171 1.01
Baltimore City Maryland 16906 496 2.93
Will Illinois 16898 419 2.48
Richmond New York 16746 1091 6.51
Charleston South Carolina 16663 271 1.63
Richland South Carolina 16652 262 1.57
Hartford Connecticut 16568 1449 8.75
Greenville South Carolina 16469 332 2.02
District of Columbia District of Columbia 16395 641 3.91
Denver Colorado 16117 440 2.73

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc